Instructions to use FidelOdok/doa_model_TL3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FidelOdok/doa_model_TL3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FidelOdok/doa_model_TL3")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("FidelOdok/doa_model_TL3") model = AutoModelForAudioClassification.from_pretrained("FidelOdok/doa_model_TL3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from FidelOdok/doa_model_TL3: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/FidelOdok/doa_model_TL3/resolve/main/training_args.bin
- Command line
-
hf download hf://FidelOdok/doa_model_TL3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/FidelOdok/doa_model_TL3/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- d8401c7e172977c5d882a8c63fa8b3ea821f24bba20ca318a66aa92c1e73e262
- Size of remote file:
- 3.58 kB
- SHA256:
- aac7addeadb09f910312090803755d518fd6dc3dddd838cd03c3a54d1183a062
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